5 citations · 7 across the 7 of their papers we have counts for
4 papers · 1 filter
Effective Adaptive Mutation Rates for Program Synthesis
Andrew Ni, Lee Spector
The problem-solving performance of many evolutionary algorithms, including genetic programming systems used for program synthesis, depends on the values of hyperparameters includin…
Pareto-Optimal Learning from Preferences with Hidden Context
Ryan Bahlous-Boldi, Li Ding, Lee Spector +1
Ensuring AI models align with human values is essential for their safety and functionality. Reinforcement learning from human feedback (RLHF) leverages human preferences to achieve…
Leveraging Symbolic Regression for Heuristic Design in the Traveling Thief Problem
Andrew Ni, Lee Spector
The Traveling Thief Problem is an NP-hard combination of the well known traveling salesman and knapsack packing problems. In this paper, we use symbolic regression to learn useful…
DALex: Lexicase-like Selection via Diverse Aggregation
Andrew Ni, Li Ding, Lee Spector
Lexicase selection has been shown to provide advantages over other selection algorithms in several areas of evolutionary computation and machine learning. In its standard form, lex…